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Journal of Applied Mathematics
Volume 2014 (2014), Article ID 562079, 12 pages
http://dx.doi.org/10.1155/2014/562079
Research Article

Fair Optimization of Video Streaming Quality of Experience in LTE Networks Using Distributed Antenna Systems and Radio Resource Management

1Qatar Mobility Innovations Center (QMIC), Qatar Science and Technology Park, P.O. Box 210531, Doha, Qatar
2Electrical and Computer Engineering Department, Faculty of Engineering and Architecture, American University of Beirut, Riad El-Solh, P.O. Box 11-0236, Beirut 1107 2020, Lebanon

Received 30 January 2014; Accepted 7 May 2014; Published 25 May 2014

Academic Editor: Dritan Nace

Copyright © 2014 Elias Yaacoub and Zaher Dawy. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Network quality of experience (QoE) metrics are proposed in order to capture the overall performance of radio resource management (RRM) algorithms in terms of video quality perceived by the end users. Metrics corresponding to average, geometric mean, and minimum QoE in the network are measured when Max C/I, proportional fair, and Max-Min RRM algorithms are implemented in the network. The objective is to ensure a fair QoE for all users in the network. In our study, we investigate both the uplink (UL) and downlink (DL) directions, and we consider the use of distributed antenna systems (DASs) to enhance the performance. The performance of the various RRM methods in terms of the proposed network QoE metrics is studied in scenarios with and without DAS deployments. Results show that a combination of DAS and fair RRM algorithms can lead to significant and fair QoE enhancements for all the users in the network.